A-B nodes classification for power estimation
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Institute of Electrical and Electronics EngineersDate
2006Citation
10.1109/FPL.2006.311318
International Conference on Field Programmable Logic and Applications, 2006. FPL '06. IEEE 2006. 803-808
ISBN
1-4244-0312-XDOI
10.1109/FPL.2006.311318Editor's Version
http://dx.doi.org/10.1109/FPL.2006.311318Subjects
Informática; TelecomunicacionesNote
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. E. Todorovich, and E. Boemo, "A-B nodes classification for power estimation", in International Conference on Field Programmable Logic and Applications, 2006. FPL '06, 2006, p. 803-808Rights
© 2006 IEEEAbstract
In this paper, an optimization for the classical statistical power estimation method is proposed. This technique is applied to the individual nodes. The optimization is based on two observations. Firstly, a small percentage of both the nodes and the estimated power requires nearly a half of the total simulation time. On the other hand, the statistical method produces results with better accuracy than those specified by the user. This additional precision enables to reduce the run time for the slow convergence nodes with no loss of accuracy. A simple partitioning of the nodes into two groups, A and B, with normal and high computational cost respectively, leads to a modified stopping criterion with dramatic savings in the run time.
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Google Scholar:Todorovich, Elías
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Boemo Svcalvinoni, Eduardo Iván
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